26 to 50 of 52 Natural Language Processing Jobs in the UK excluding London

engineers and software teams to move solutions from prototype to supported delivery. Desirable skills and experience Experience with enterprise AI adoption, MLOps, cloud architecture, NLP/LLMs or advanced analytics platforms. Experience managing mixed teams of data scientists, analysts, engineers and product specialists. Experience in client-facing consultancy or public ...

engineering through to deployment, optimisation and monitoring. Key Responsibilities Develop machine learning models for risk scoring, churn prediction and contractor analytics Build LLM and NLP solutions for automated compliance checks and insight generation Deploy AI and ML models into cloud-based production environments Work with Microsoft Fabric for data ingestion … technical stakeholders Contribute to best practices around coding standards, maintainability and AI-assisted development Tech Stack Python, SQL, TensorFlow, PyTorch, AWS, Azure, Microsoft Fabric, NLP, LLMs, MLOps What We're Looking For Strong commercial Data Science experience Experience building and deploying ML models into production Strong understanding of predictive modelling ...

agile product development environments. Desirable Experience working in regulated environments or with legal workflows. Thorough understanding of AI technologies used in legal environments (LLMs, NLP, extraction/classification models, summarisation, RAG pipelines, etc.) Hybrid Working Birketts is a flexible business which has embraced a hybrid working model where our colleagues ...

deliver production-ready ML solutions that drive real business value. You'll lead a team of Data Scientists while remaining heavily involved in modelling, NLP/LLM initiatives and predictive analytics projects. What you'll be doing Leading technical decision making across Data Science Building and deploying ML models into … production Driving NLP and LLM initiatives Working closely with Data Engineering and AI teams Coaching and mentoring Data Scientists Improving model governance and ML best practice Tech stack Python, SQL, TensorFlow, PyTorch, AWS/Azure, SageMaker, NLP, LLMs, MLOps What we're looking for Strong commercial Data Science experience Experience ...

plus 15% clearance bonus Must be willing to be full-time on-site in Cheltenham Skills required in machine learning, GenAI, NLP, Customer Engagement/Consultancy Who are we? We are recruiting Junior, Senior and Lead Data Scientists with AI specialism and enhanced DV Clearance for a prestigious client … organisation at conferences, all within an inclusive and diverse working environment. Key Skills and Requirements: Proficient in AI techniques including machine learning, GenAI, NLP, deep learning, graph analytics, and time series analysis. Strong communicator with the ability to simplify complex concepts, manage stakeholders, and motivate/lead Agile teams ...

Powered Capabilities Design and develop AI-powered features such as assistants, copilots, and intelligent workflows Build and deploy Retrieval-Augmented Generation (RAG) pipelines Apply NLP techniques to structure and unlock value from unstructured text Develop semantic and hybrid search solutions (vector + keyword) Work with LLM platforms (e.g. OpenAI, Claude … data/ML pipelines Experience developing APIs or production-grade systems Hands-on exposure to LLMs and prompt engineering Understanding of RAG architectures and NLP pipelines Familiarity with search technologies (Elasticsearch, vector databases, or similar) Collaboration & Influence Excellent stakeholder management and communication skills Ability to translate complex technical work into ...

navigating evolving mainstream AI models and algorithm trends, skilled in discerning nuanced requirements for the chip layer. Mastery in technical problem‐solving, especially in NLP and large‐scale AI models, able to pinpoint and resolve bottlenecks. Pioneers in strategic development and innovation, guiding planning and architecture for cutting‐edge chip ...

Senior AI Engineer (NLP/LLMs) – remote (UK based) £70-100k depending on experience A high-growth SaaS company is hiring a Senior AI Engineer to help build intelligent, mission-critical systems used in highly regulated environments. The platform applies machine learning and large language models across complex … data workflows, solving real-world problems with measurable social impact. The Role As a Senior AI Engineer, you’ll design, build and deploy advanced NLP and LLM-based solutions, taking models from research through to production. You’ll work closely with AI, data, MLOps and product teams to translate business ...

umbrella company) Key Responsibilities * Process Automation: Identify, design, and implement automation solutions (workflow automation, automated reporting, data validation, milestone monitoring, exception management, document processing, and notification workflows) to eliminate manual tasks in supply operations processes * AI & Analytics: Support development based on AI/ML-based tools for decision support … process automation (Python, Power Automate, Power Apps, UiPath, or similar technologies) * Working knowledge of AI/ML tools and frameworks (e.g., machine learning libraries, NLP, generative AI applications, AI copilots, or automation agents) * Experience with data manipulation and visualization (SQL, Power BI, Databricks, Excel automation, or equivalent) * Familiarity with ...

LLMs, and MLOps, alongside expert proficiency in Python, React, and TypeScript. What will give you a competitive edge (preferred qualifications): Expert-level understanding of NLP, Embeddings, and Prompt Engineering. Significant experience with Cloud platforms (GCP or Azure) and Infrastructure as Code (Terraform). Experience designing and implementing data processing ...

LLMs, and MLOps, alongside expert proficiency in Python, React, and TypeScript.**What will give you a competitive edge (preferred qualifications):*** Expert-level understanding of NLP, Embeddings, and Prompt Engineering.* Significant experience with Cloud platforms (GCP or Azure) and Infrastructure as Code (Terraform).* Experience designing and implementing data processing ...

maintenance of complex software products in a DevOps and Agile environment. Deep practical experience with RAG, LLMs, and MLOps. Expert‐level understanding of NLP, Embeddings, and Prompt Engineering. Expert proficiency in Python, React, and TypeScript. Significant experience with Cloud platforms (GCP or Azure) and Infrastructure as Code (Terraform). Experience … designing and implementing data processing and document ingestion pipelines (e.g., Vertex AI, Google Cloud Fusion, or Azure Data Factory). Deep understanding of the SDLC, API‐Centric Design, and Twelve‐Factor App principles. Proven experience mentoring engineers and leading technical teams to success. Deep familiarity with authentication and authorisation ...

data scientists and data engineers to turn experiments and POCs into scalable, reliable services. Develop solutions for large scale unstructured data, including complex document processing and LLM ready data pipelines. Own MLOps practices, covering CI/CD, model serving, observability and lifecycle management. Provide hands on technical leadership, contributing … Solid knowledge of Databricks and modern data engineering concepts such as lakehouse architectures. Experience preparing data and pipelines for LLM based use cases and NLP workloads. Strong Python skills, with experience building APIs or services, for example using FastAPI. Confidence working across the full delivery lifecycle, from design through ...

capability. Key responsibilities include: Leading the design and delivery of end-to-end machine learning pipelines aligned to business priorities. Productionising existing ML and NLP proof-of-concepts and scaling them into robust, supported solutions. Implementing best practices across MLOps, data pipelines, model deployment, and monitoring. Working closely with Data … Scientists to support model development, maintenance, and optimisation. Supporting large-scale data processing use cases, including unstructured document and NLP workloads. Contributing as a technical thought leader within an agile, engineering-led environment. Supporting cloud migration, data integration, and platform evolution in Azure and Databricks. Your Skills and Experience ...

pipelines aligned to business strategy Implementing robust MLOps processes (CI/CD, model deployment, monitoring, governance) Delivering ML solutions for complex NLP and LLM use cases, including large-scale document processing Collaborating closely with Data Scientists to support model development, fine-tuning, and lifecycle management Supporting data integration … Machine Learning Engineering with a strong software engineering foundation Python, SQL, and modern ML engineering practices Azure-based ML and data platforms (including Databricks) NLP and LLMs, including fine-tuning and production deployment Designing and operating MLOps pipelines in production environments Stakeholder management and working in agile, high-performing teams ...

technologies and contribute to continuous innovation Essential Skills for the AI Engineer: Strong proficiency in Python with extensive experience using AI, ML and NLP libraries Hands-on experience working with modern large language models including prompt engineering, fine-tuning and evaluation Practical experience with core Generative AI frameworks ...

operating models and organisational structures for data and AI functions. Familiarity and understanding of AI/ML technologies, including generative AI, predictive analytics, NLP, data and intelligent automation. Familiarity with AI governance frameworks, model risk management and regulatory requirements. Soft Skills Communication, storytelling and presentation skills. Experience of facilitation … stay ahead of the rapidly evolving AI landscape and deployment strategies. Strategic thinking with the ability to translate complex technical concepts into business language and explain how they drive business value. Preferred Criteria Familiarity with modern data governance frameworks and architectures, cloud platforms and AI infrastructure including DAMA. Exposure ...

operating models and organisational structures for data and AI functions Familiarity and understanding of AI/ML technologies, including generative AI, predictive analytics, NLP, data and Intelligent Automation Familiarity with AI governance frameworks, model risk management, and regulatory requirements Soft Skills Communication, storytelling and presentation skills Experience of facilitation … mindset to stay ahead of rapidly evolving AI landscape and strategies for deployment Strategic thinking with ability to translate complex technical concepts into business language and explain how they drive business value Preferred Criteria Familiarity of modern data governance frameworks and architectures, cloud platforms, and AI infrastructure including DAMA ...

Engineering capability and contributing to the wider data and AI strategy. Designing, building, and productionising ML pipelines aligned to business goals. Delivering NLP and LLM-driven solutions, including fine-tuning and deployment. Implementing strong MLOps practices across model training, deployment, and monitoring. Working closely with Data Scientists to support, maintain … end. Strong Python and SQL skills, with experience building data and ML pipelines. Hands-on experience with Databricks and Azure. Practical experience with NLP and LLMs, including fine-tuning and applied use cases. Solid understanding of MLOps, CI/CD for ML, and production model monitoring. Exeperience with stakeholders ...

Engineering capability and contributing to the wider data and AI strategy. Designing, building, and productionising ML pipelines aligned to business goals. Delivering NLP and LLM-driven solutions, including fine-tuning and deployment. Implementing strong MLOps practices across model training, deployment, and monitoring. Working closely with Data Scientists to support, maintain … end. Strong Python and SQL skills, with experience building data and ML pipelines. Hands-on experience with Databricks and Azure. Practical experience with NLP and LLMs, including fine-tuning and applied use cases. Solid understanding of MLOps, CI/CD for ML, and production model monitoring. Exeperience with stakeholders ...

Engineering capability and contributing to the wider data and AI strategy. Designing, building, and productionising ML pipelines aligned to business goals. Delivering NLP and LLM-driven solutions, including fine-tuning and deployment. Implementing strong MLOps practices across model training, deployment, and monitoring. Working closely with Data Scientists to support, maintain … end. Strong Python and SQL skills, with experience building data and ML pipelines. Hands-on experience with Databricks and Azure. Practical experience with NLP and LLMs, including fine-tuning and applied use cases. Solid understanding of MLOps, CI/CD for ML, and production model monitoring. Exeperience with stakeholders ...

Engineering capability and contributing to the wider data and AI strategy. Designing, building, and productionising ML pipelines aligned to business goals. Delivering NLP and LLM-driven solutions, including fine-tuning and deployment. Implementing strong MLOps practices across model training, deployment, and monitoring. Working closely with Data Scientists to support, maintain … end. Strong Python and SQL skills, with experience building data and ML pipelines. Hands-on experience with Databricks and Azure. Practical experience with NLP and LLMs, including fine-tuning and applied use cases. Solid understanding of MLOps, CI/CD for ML, and production model monitoring. Exeperience with stakeholders ...

Engineering capability and contributing to the wider data and AI strategy. Designing, building, and productionising ML pipelines aligned to business goals. Delivering NLP and LLM-driven solutions, including fine-tuning and deployment. Implementing strong MLOps practices across model training, deployment, and monitoring. Working closely with Data Scientists to support, maintain … end. Strong Python and SQL skills, with experience building data and ML pipelines. Hands-on experience with Databricks and Azure. Practical experience with NLP and LLMs, including fine-tuning and applied use cases. Solid understanding of MLOps, CI/CD for ML, and production model monitoring. Exeperience with stakeholders ...

Engineering capability and contributing to the wider data and AI strategy. Designing, building, and productionising ML pipelines aligned to business goals. Delivering NLP and LLM-driven solutions, including fine-tuning and deployment. Implementing strong MLOps practices across model training, deployment, and monitoring. Working closely with Data Scientists to support, maintain … end. Strong Python and SQL skills, with experience building data and ML pipelines. Hands-on experience with Databricks and Azure. Practical experience with NLP and LLMs, including fine-tuning and applied use cases. Solid understanding of MLOps, CI/CD for ML, and production model monitoring. Exeperience with stakeholders ...

client engagement, and mentorship of other consultants. What you'll be doing Lead the design and delivery of AI and data science solutions (LLMs, NLP, ML, etc.) Work directly with senior client stakeholders to shape and deliver solutions Build and deploy end-to-end AI products , not just prototypes Apply … across defence and public infrastructure What you bring Core requirements Strong data science/machine learning background Experience delivering AI/GenAI solutions (LLMs, NLP, etc.) Proven ability to take solutions from concept through to real-world deployment Experience leading projects, workstreams, or teams Strong stakeholder engagement skills - client-facing ...